Data Engineer: Scalable Pipelines & Analytics

Socket.dev; Chesapeake (VA); On-site; USD 110,000 - 140,000; Full time

Job summary

Standard Calibrations, Inc. is seeking a Data Engineer to design and scale data infrastructure that supports decision making across the business.

You will architect, implement, and maintain pipelines that transform raw data into analytics-ready datasets. You will work with data, product, and engineering teams to deliver end-to-end data flows, integrate new sources, and enable self-service analytics with Power BI and Crystal Reports.

Qualifications

• 5-7+ years of experience in data engineering, data analytics, or data development with a reporting focus.
• Proficiency in Microsoft SQL, Power BI, and data migration tools such as SSIS.
• Proficiency in designing SAP Crystal Reports 2020 or newer.
• Experience integrating data from various sources (relational DBs, NoSQL, APIs, external SaaS platforms).
• Ability to design scalable, maintainable, and robust data pipelines.

Responsibilities

• Define and develop data architecture, schemas, ETL/ELT processes, and data models to develop and maintain our data pipelines and data warehouse within our Microsoft Fabric environment.
• Ensure adherence to best practices in data modeling, scalability, governance, and performance optimization.
• Develop standardized, well-documented semantic layers and curated datasets for analytics consumers. Ensure pipelines are resilient, observable, well-tested, and optimized for cost and performance.

Skills

Data engineering

Data analytics

ETL/ELT

Data modeling

Communication skills

Tools

Microsoft SQL

Power BI

Microsoft SSIS

Crystal Reports

Microsoft Fabric

Azure

Visual Studio

SSRS

Job description

Standard Calibrations, Inc. is seeking a Data Engineer to design and scale data infrastructure that supports decision making across the business.

You will architect, implement, and maintain pipelines that transform raw data into analytics-ready datasets. You will work with data, product, and engineering teams to deliver end-to-end data flows, integrate new sources, and enable self-service analytics with Power BI and Crystal Reports.